MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

TrueFoundry launches TrueFailover, an AI failover system that automatically reroutes enterprise traffic to backup models when ...

As markets become faster and increasingly data-heavy, crypto trading platforms are no longer judged by access alone, but by ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting ...